Instructions to use WindstormLabs/translate-pt-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pt-tl with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-pt-tl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pt-tl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37f576f63b3ca6dd0fc39144ca38f2c0c176f02330e34448287c272bf55eb4be
- Size of remote file:
- 76.9 MB
- SHA256:
- 348303edd7ffd3ac70faf1c9967324e4ce5e0c0ddb34b123cafb8bcdd61d469c
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